Jian Ma

Artificial Intelligence · Expert systems with applications · 2010–2015

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #30,689 of 35,345 by trust here, #12,761 by citations
• Management Science and Operations Research — 14 citations into it
• Information Retrieval & Search — 10 citations into it
• Computer Networks and Communications — 9 citations into it; #8,442 of 9,886 by trust here, #5,961 by citations
• Information Systems — 9 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Jian Ma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Robert E. Schapire
3. Pabitra Kumar Maji
4. Tin Kam Ho
5. Jaka Demsar
6. Geoffrey I. Webb
7. Animesh Patcha

Who trusts Jian Ma overall

1. Sumaiya Thaseen Ikram

Papers from Jian Ma's perspective

Ordered by how strongly the researchers Jian Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Bagging Predictors
3. The Strength of Weak Learnability
4. Rough Sets (Database Technologies: Concepts, Methodologies, Tools, and Applications)
5. Detecting change in vague interpretations of landscapes
6. The PageRank Citation Ranking : Bringing Order to the Web
7. MultiBoosting: A Technique for Combining Boosting and Wagging (Machine-mediated learning)
8. Soft sets and soft groups (Information Sciences)
9. On some new operations in soft set theory (Computers and Mathematics with Applications)
10. Statistical Comparisons of Classifiers over Multiple Data Sets

Their papers

• A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (2010) — 581 citations
• Vague soft sets and their properties (2010) — 301 citations
• How does Google search affect trader positions and crude oil prices (2015) — 125 citations
• Sentiment classification: The contribution of ensemble learning (2014) — 403 citations
• Toward a semantic granularity model for domain-specific information retrieval (2011) — 57 citations
• A comparative assessment of ensemble learning for credit scoring (2011) — 484 citations